GEARS
github.com/snap-stanford/gearsGeometric deep learning model predicting transcriptional outcomes of novel single- and multi-gene perturbations using gene–gene knowledge graphs, 40% higher precision than prior methods on combinatorial perturbation prediction (Stanford, Nature Biotechnology 2024)
Sourced from
- Awesome AI for Science — github.com/snap-stanford/gears
- GitHub — github.com/snap-stanford/gears
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